Multimodal Reasoning On Math V
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| InternLM-XComposer2-VL | 14.54 | Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset | |
| Gemini Pro | 17.66 | Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset | |
| Qwen-VL-Max | 15.59 | Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset | |
| GPT4V | 22.76 | Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset |
0 of 4 row(s) selected.